Towards large-scale analyses of settlement patterns in urbanizing landscapes—findings of first studies for India, Egypt, and China
Improved ability to assess and categorize the spatial characteristics of settlement patterns is required for a deeper understanding of how urbanization is driving land use and land cover transformation and its effects. Two approaches to the globally available settlement maps of the World Settlement Footprint 3D support a detailed assessment of spatial characteristics of settlement patterns in rural to urban landscapes and across scales: graph-based spatial network analysis and elements of fractal theory. Based on first comprehensive tests for the Punjab (India), the Nile Delta (Egypt) and the North China Plain, the results of our study suggest that the presented methods allow a quantitative and qualitative characterization and comparison of settlement patterns between different regions of the world. The approache allows to generate standardized baseline data for arbitrary regions in the world to analyze structuring principles of settlement hierarchies (e.g., self-organized fractal geometries) and their dependence on - or interaction with - cultural, political, socioeconomic, or environmental conditions.
Authors
- Julian Zeidler (ORCID: https://orcid.org/0000-0001-9444-2296)
- Dale P. Kaiser
- Andreas Buerkert (ORCID: https://orcid.org/0000-0003-1329-1559)
- Lorenz Gruber
- Ellen Hoffmann (ORCID: https://orcid.org/0000-0002-3200-7405)
- Thanh Thi Nguyen (ORCID: https://orcid.org/0000-0003-1037-9731)
- Thomas Esch
Institutions
- University of Kassel (DE)
- University of Würzburg (DE)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Stuttgart Technical University of Applied Sciences (DE)
Publication Details
- Journal
- Scientific Reports
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1038/s41598-024-74678-w
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Space Agency
- Universität Kassel
- University of Texas at El Paso